Driver Fatigue Detection Using Smart Eye Blink Monitoring System

Publisher:
International Conference on Broadband Communication, Information Technology & Biomedical Application
Publication Type:
Conference Proceeding
Citation:
IEEE Proceedings of the 4th International Conference on Broadband Communication, Information Technology & Biomedical Applications, 2010, pp. 387 - 392
Issue Date:
2010-01
Full metadata record
Files in This Item:
Filename Description Size
Thumbnail2009002419OK.pdf379.54 kB
Adobe PDF
Long duration driving is a significant cause of fatigue related accidents on motorways. This paper presents the design of a detection system which can be used to detect fatigue in drivers. The system focuses on eye blink rate. We propose an algorithm for eye detection that is conducted through a process of extracting the face image from the video image followed by evaluating the eye region and then eventually detecting the iris of the eye using the binary image. The advantage of this system is that the algorithm works without any constraint of the background as the face is detected using a skin segmentation technique. The detection performance of this system was tested using video images which were recorded under laboratory conditions. The applicability of the system is discussed in light of fatigue detection for drivers.
Please use this identifier to cite or link to this item: